The solid tire sulphation control system based on PLC and Fuzzy adaptive PID control algorithm

Author(s):  
Ai-Lian Li ◽  
Hui-Ting Wu
2014 ◽  
Vol 532 ◽  
pp. 204-207
Author(s):  
Jiang Zhao ◽  
Wei Ke Fei ◽  
Chong Qing Hao ◽  
Ying Zhang

In order to study the control problem of infrared heating shrinkage machine, i.e. Large delay,nonlinearity of the control system, one type of the basic organization and simulation principle of the hardw-in-the-loop simulation system are presented in the given paper, and the simulation model of infrared heating shrinkage machine is discussed. Aiming to solve the problem of traditional PID control algorithm is difficult to get ideal control effect, an adaptive PID control algorithm based on BP neural network is proposed. The object can be better online controlled and adjusted after the algorithm has been applied, meanwhile the requirement of accuracy and reliability will be improved, and quite a lot debugging time will be saved.The results show that the system basically satisfies the technical requirements and provides a good experimental platform.The study is provided with great significance for the realization of the semi-physical simulation system.


2011 ◽  
Vol 271-273 ◽  
pp. 983-986
Author(s):  
Ren He Zhen

This article employs single closed loop of voltage negative feedback circle to explore the welding wire sending system of arc welder, as the system of this style has the feature of rough sending and poor dynamic behavior. A double closed loop PWM digit speed adjustment system is proposed based on fussy adaptive-adjusting PID control algorithm. The experiment result indicates that this control system not only has a sound dynamic behavior and static behavior but also has a strong self-adapting behavior, and mostly eliminates the arc flutter made by the rough welding wire sending system.


2013 ◽  
Vol 347-350 ◽  
pp. 322-326
Author(s):  
Qiao Hong Li ◽  
Fang Hou

The speed regulating system of DC blushless motor was mostly studied. This paper is based on a simplified mathematical model of Brushless DC motor which was consisted of the traditional PID and single neurons. In the Simulink environment, it is established by the control algorithm of single neuron adaptive PID brushless DC motor speed control system closed loop simulation model. From simulation results, the single neuron adaptive PID control system of DC brushless motor has excellent dynamic and static performance. Based on the analysis of DC blushless motor speed control system and simulation results of the neural network control algorithm, hardware of the digital control system for DC brushless motor is designed with control center of high performance microcontroller 80C196KC,which is of single neuron adaptive PID control algorithm.


2011 ◽  
Vol 130-134 ◽  
pp. 3459-3462
Author(s):  
Xia Sun

This paper combines the fuzzy control theory with the specific control object .We use MATLAB as the simulation platform ,and detailed research the application of the fuzzy adaptive PID control algorithm and the fuzzy adaptive - PID controller in the constant pressure water supply control system , provides a solution for the delay and nonlinear system.


Sign in / Sign up

Export Citation Format

Share Document